How machine learning + MySQL create an application-aware database that unlocks performance
Deep will demonstrate how the next generation of MySQL-compatible databases use application-awareness to deliver high-velocity data and real-time analytics at cloud scale. We’ll show how the adaptive, in-memory technology uses machine learning to self-optimize, providing vastly accelerated performance and easing the transition to the cloud. We'll look at how this unique approach dynamically adapts to environment and application workload changes, ending manual tuning. Learn how to elegantly and seamlessly handle peak usage periods like Cyber Monday by elastically scaling-up your database infrastructure on the fly. We will also show how to concurrently handle both read-heavy and write-heavy workloads to provide real-time analytics on live operational data.
VP Products & Services, Deep Information Sciences
Mike Skubisz is a seasoned technology executive with more than 25 years of industry experience. He is well-versed in the challenges faced by both start-up and established Fortune 500 companies. Mike’s experience across multiple industries includes database, enterprise data communications, telecommunications access equipment and OSS and network management software. A technology innovator, Mike holds 9 U.S. Patents.